Question 1

Your organization uses Kubecost to manage Kubernetes costs and has recently noticed a rise in idle resources across various clusters. The FinOps team needs to reduce costs by optimizing these idle resources. Which of the following actions would be most effective using Kubecost? (Select two correct answers)

Options :

A : Implement Kubecost’s node right-sizing recommendations to allocate optimal instance types based on usage patterns.

B : Disable Kubecost’s cost allocation feature to focus only on cluster-wide cost reductions.

C : Set higher resource requests for applications to maximize node utilization.

D : Leverage Kubecost’s idle resource tracking to identify and consolidate underutilized nodes.

E : Use Kubecost’s showback functionality to distribute idle costs among teams proportionally.

Answer: A,D

Question 2

Scenario: A gaming company operates a serverless backend on Google Cloud Platform (GCP) to support a global multiplayer game. They use Google Cloud Functions to handle API requests from players and store game state data in Google Cloud Firestore. Recently, costs have surged due to increased player interactions, leading to frequent Cloud Function invocations and high Firestore read/write charges. The development team wants to optimize the serverless architecture to reduce these expenses while maintaining real-time game response times for a smooth player experience.What is the most cost-effective approach to optimize the architecture while meeting the performance requirements?

Options :

A : Switch Cloud Functions to a higher memory allocation to reduce execution time, and add Firebase Realtime Database for game state storage.

B : Utilize Google Cloud Pub/Sub to batch API requests before sending them to Cloud Functions and consolidate Firestore reads with data caching.

C : Migrate from Cloud Functions to Google App Engine and maintain the same Firestore configuration for storage.

D : Reduce Firestore costs by switching to on-demand mode and decreasing Cloud Functions’ maximum timeout to prevent long-running calls.

Answer: B

Question 3

Your company has recently expanded its cloud footprint to include multiple Azure and AWS accounts across different departments. The FinOps team has decided to implement CloudCheckr for unified cost analysis and optimization. However, the team is unsure how to handle the differences in reserved instance (RI) purchasing options between Azure and AWS to maximize cost savings across both platforms. What would be the best approach to optimize reserved instance purchases using CloudCheckr in a multi-cloud setup?

Options :

A : Use CloudCheckr's Reserved Instance (RI) Planner to evaluate AWS and Azure purchases separately to account for different pricing and terms.

B : Allocate all resources under a single department’s account to simplify RI purchases across both platforms.

C : Set up cross-cloud reservations using CloudCheckr to ensure RI discounts apply across both Azure and AWS workloads.

D : Rely on AWS Savings Plans as a substitute for RIs in both AWS and Azure to avoid dealing with separate RI management processes.

Answer: A

Question 4

Which of the following is the primary advantage of using FinOps tooling, such as CloudHealth or Cloudability, for cloud cost management in a multi-cloud environment?

Options :

A : Provides the ability to forecast cloud costs solely based on historical usage

B : Enables automated multi-cloud cost allocation by applying business-specific tagging and labeling policies

C : Limits cost management to only one cloud provider at a time, simplifying the tracking process

D : Offers detailed insights into compliance and security vulnerabilities across cloud providers

Answer: B

Question 5

Which of the following is the most effective approach for enforcing cloud financial policies within an engineering team to ensure compliance without impeding innovation?

Options :

A : Limit engineers' ability to provision resources to pre-approved service types only.

B : Implement strict approval processes for every cloud resource provisioning request.

C : Use automated tagging policies to categorize cloud resources by cost center and application.

D : Set hard budget limits for each engineering team, with automatic shutdowns when limits are exceeded.

Answer: C

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